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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Gemini 3.5 TranscribeGoogleRemove
  2. Grok 4.6xAIRemove
  3. Nemotron 3.5 Super VLNVIDIARemove
gemini-3.5-transcribe vs grok-4.6 vs nemotron-3.5-super-vl
AttributeGemini 3.5 Transcribegemini-3.5-transcribeGrok 4.6grok-4.6Nemotron 3.5 Super VLnemotron-3.5-super-vl
Pricing
Input— Not priced per input token$2.00 / 1M$0.10 / 1M
Output— Not priced per output token$6.00 / 1M$0.40 / 1M
Cache Write (5m)Not applicable$2.00 / 1M$0.10 / 1M
Cache Write (1h)Not applicable$2.00 / 1M$0.10 / 1M
Cache ReadNot applicable$2.00 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K500K1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderGooglexAINVIDIA
Categoryvoicechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-25——
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Grok 4.6 is SpaceXAI's smartest frontier model, delivering top-tier performance across coding, knowledge work, and STEM reasoning. It is designed for demanding technical and professional workloads that require strong problem solving, accurate instruction following, and reliable execution. Optimized for software engineering, scientific analysis, and complex knowledge tasks, Grok 4.6 is well suited for advanced coding, research, and agentic workflows where high capability and reasoning quality are critical.NVIDIA Nemotron 3.5 Super VL is an open multimodal Mixture-of-Experts (MoE) model featuring 120B total parameters with 12B activated per token. Built on a hybrid Mamba–Transformer architecture with multi-token prediction, it supports text, images, documents, GUI screenshots, and video inputs, along with a 1M-token context window for complex, long-horizon workflows. Optimized for multimodal reasoning, visual understanding, and agentic tool use, the model supports configurable reasoning modes and token budgets. It is well suited for document intelligence, web research, coding validation, customer service, GUI analysis, and video understanding, enabling efficient, long-running multimodal agent applications.